Hi! Our group conducts research in machine learning. Our approach is mathematical and formal, but we also have fun with applications in cognitive science, medical science, and social media. Please follow the "research" link above to see some recent projects, and the "publications" link to download publicly available academic papers, data sets, and code.
Current Graduate Students
holds a BS from the University of Utah's School of Computing and a Master's from UW Madison's CS department. His research interests include
machine teaching (particularly in adversarial settings), multi-agent systems, and measurement. Outside of research he is an astronomy and wildlife enthusiast,
and volunteers as a locksport instructor in the Madison area.
Co-advised with Paul Barford.
Yuzhe Ma holds a BS from Huazhong University of Science and Technology (HUST), advised by Prof. Kun He. His research interests include machine teaching, active learning, unsupervised learning (particularly in dimension reduction and clustering), and developing machine learning models for practical applications. He enjoys listening to music and reading books.
received his BSc and MSc in CSE from Bangladesh University of Engineering and Technology (BUET) in 2012 and 2014 respectively. He also was a Lecturer at BUET from 2012 to 2014. His research interests are machine teaching, data mining and semi-supervised learning. He enjoys playing video games. He also likes to read books and listen to music.
Ara Vartanian's research interests include topological data analysis, active learning, and applications of machine learning to topics in programming languages. He holds a BA in Philosophy from Pomona College, an MBA from the Kelley School of Business, and an MS in Computer Sciences from UW Madison. In his spare time, he tickles the ivories (which is not really ivory, because that would be cruel).
received his BS in Computer Science from Shanghai Jiao Tong University. His research interests include machine teaching, multi-armed bandits and stochastic processes. Outside of research, he enjoys all kinds of sports particularly workouts and runnings. He's also an amateur photographer and love capturing the fascinations in life.
Xuezhou Zhang holds a BS from University of California, Los Angeles (UCLA), advised by Andrea L. Bertozzi. His research interests include machine teaching, optimization, and active learning. Outside of research he is a photographer and downhill skier.
David M. Andrzejewski, PhD 2010 (co-advised by Mark Craven).
thesis: Incorporating Domain Knowledge in Latent Topic Models
first position: Postdoctoral Researcher, Lawrence Livermore National Laboratory
Bryan R. Gibson, PhD 2015.
thesis: Using Machine Learning to Understand and Influence Human Categorization Behavior
first position: Voxgov
Andrew B. Goldberg, PhD 2010.
thesis: New Directions in Semi-Supervised Learning
first position: Senior Scientist, Arcode
Kwang-Sung Jun, PhD 2015.
thesis: Some Machine Learning Methods from Sequential Input
first position: Postdoctoral Researcher, University of Wisconsin-Madison
Junming Sui, PhD 2015.
thesis: Understanding and Fighting Bullying with Machine Learning
dataset: Bullying dataset for machine learning version 3.0, 7321 tweets annotated with bullying, author role, teasing, type, form, and emotion labels.
first position: Google
- Nick Bridle, MS. (Software Engineer, Google)
- Ohannessian Gorune, MS.
- Lijie Heng, MS. (Software Engineer, Oracle)
- Ming Li, Visiting student. (Assistant Professor, Nanjing University)
- Mark Liu, MS.
- Shike Mei, MS. (Facebook)
- Jake Rosin (co-advised by Prof. Chuck Dyer)
- Jurgen Van Gael, MS. (Microsoft Research Cambridge)
- Luke Brandl, BS (Graduate School in CS, University of Michigan)
- Benjamin Burchfiel, BS. (Graduate student in CS, Duke University)
- Alex Furger, BS. (Graduate student in ORFE, Princeton University)
- Prasad Kawthekar, BS. (Graduate student in CS, Stanford University)
- Michael Maynord, BS. (Graduate student in CS, University of Maryland)
- Rachael McCormick, BS.
- Ruichen Qian, BS. (Investment Banking Analyst, Morgan Stanley)
- Steve Yazicioglu, BS. (Microsoft)
- Dake Zhang, BS. (CMU)
Information for Prospective Students
PhD admissions in our department are done by a committee, who evaluates all applications and makes decisions for the whole department. Individual faculty members do not accept students into their research groups. Sending me an email about your application will not increase your chance of being admitted into the program. You can find all the application information
you need online.
I am looking for PhD students in CS or ECE with a strong mathematical background. If you are already at Wisconsin and want to join my machine learning group, please send me an email. Please note that I rarely hire an incoming student as a research assistant. Most often we will be working together in an independent study course for a semester, so we get a chance to know if we enjoy working with each other.